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Psychology

Problem Solving and Decision Making

Heuristics, Cognitive Biases, and Dual-Process Theory — A TLDR Primer

You have an AP Psychology exam next week, or maybe a cognitive psych unit that suddenly got confusing — algorithms, heuristics, confirmation bias, prospect theory — and your textbook is bloated with content you don't have time to reread. This guide is the shortcut.

**TLDR: Problem Solving and Decision Making** covers exactly what the title promises, stripped to essentials. You'll get a clear distinction between well-defined and ill-defined problems, a plain-English tour of problem-solving strategies (algorithms, means-end analysis, working backward, analogical reasoning), and a grounded explanation of why heuristics like availability and anchoring usually serve us well — and where they predictably break down. The sections on cognitive biases explained for high school students walk through confirmation bias, the sunk-cost fallacy, framing effects, functional fixedness, and more, with concrete examples at every turn. The book closes with dual-process theory (System 1 vs. System 2), prospect theory, and bounded rationality — the ideas that connect all the earlier pieces.

This is written for US high school and early college students, and it works just as well for a parent helping a kid prep or a tutor building a quick session outline. No filler, no padding — just the concepts, the vocabulary, and enough worked examples to walk into class with confidence.

If you need a concise AP Psychology decision making review before your next exam, grab this and get to work.

What you'll learn
  • Distinguish algorithms from heuristics and know when each is appropriate
  • Identify common cognitive biases and how they distort decisions
  • Recognize mental blocks like fixation and mental set in problem solving
  • Explain dual-process theory (System 1 vs. System 2) and its predictions
  • Apply problem-solving strategies like means-end analysis and working backward
What's inside
  1. 1. What Problem Solving and Decision Making Actually Mean
    Defines the two processes, distinguishes well-defined from ill-defined problems, and frames the cognitive psychology approach.
  2. 2. Algorithms and Problem-Solving Strategies
    Covers algorithms, means-end analysis, working backward, analogical reasoning, and insight, with worked examples.
  3. 3. Heuristics: Fast, Useful, and Sometimes Wrong
    Explains representativeness, availability, anchoring, and the affect heuristic, and why mental shortcuts usually work but predictably fail.
  4. 4. Cognitive Biases and Mental Blocks
    Surveys confirmation bias, overconfidence, framing, sunk-cost fallacy, fixation, mental set, and functional fixedness.
  5. 5. Dual-Process Theory and How We Actually Decide
    Introduces System 1 and System 2 thinking, expected utility versus prospect theory, and bounded rationality.
Published by Solid State Press
Problem Solving and Decision Making cover
TLDR STUDY GUIDES

Problem Solving and Decision Making

Heuristics, Cognitive Biases, and Dual-Process Theory — A TLDR Primer
Solid State Press

Problem Solving and Decision Making

Heuristics, Cognitive Biases, and Dual-Process Theory — A TLDR Primer

Copyright © 2026 Solid State Press.

Published by Solid State Press.

All rights reserved. No part of this book may be reproduced or transmitted in any form without prior written permission, except for brief quotations in critical reviews and educational use.

Part of the TLDR Study Guides series.

Contents

  1. 1 What Problem Solving and Decision Making Actually Mean
  2. 2 Algorithms and Problem-Solving Strategies
  3. 3 Heuristics: Fast, Useful, and Sometimes Wrong
  4. 4 Cognitive Biases and Mental Blocks
  5. 5 Dual-Process Theory and How We Actually Decide
Chapter 1

What Problem Solving and Decision Making Actually Mean

Every time you figure out how to get from a broken-down car to work on time, or choose between two colleges, your brain is doing something psychologists have spent decades trying to understand. These two activities — problem solving and decision making — look similar on the surface but are usefully separated.

Problem solving is the process of moving from a situation you're in (but don't want to stay in) to a situation you want to reach, when the path between the two isn't obvious. The situation you start with is called the initial state, and the target is called the goal state. The full collection of possible steps, detours, and dead ends you might travel through is called the problem space. Solving a problem means navigating that space until you hit the goal.

Decision making is narrower: you already know the options, and you have to choose among them. You're not searching for a path so much as evaluating paths that are already laid out. Should you take the highway or the back roads? Should you major in biology or chemistry? Decision making is about selection; problem solving is about search. In practice the two overlap — you often have to solve problems before you can make a decision, and deciding can create new problems — but the distinction helps psychologists study each more carefully.

Well-Defined vs. Ill-Defined Problems

Not all problems are the same shape, and this matters for how you should attack them.

A well-defined problem has a clear initial state, a clear goal state, and a set of rules that determine what moves are legal. A Sudoku puzzle is well-defined: you know the starting grid, you know the goal (fill every row, column, and box with 1–9 without repetition), and the rules are explicit. Math problems on a standardized test are well-defined. So is the question "What is the shortest route between these two cities?" Because everything is specified, you can — at least in principle — check whether a proposed solution is correct.

About This Book

If you're staring down an AP Psychology decision making review, prepping for a college intro exam, or just trying to make sense of a confusing lecture on cognition, this guide was written for you. It also works for tutors building a quick session plan and parents who want to actually understand what their student is studying.

This psychology problem solving study guide covers the core concepts your course will test: algorithms, heuristics and biases in psychology, mental blocks and problem solving, confirmation bias, availability, representativeness, functional fixedness, and Kahneman's System 1 System 2 thinking framework. Cognitive biases explained for high school students, worked examples included — about 15 tight pages, nothing padded.

Read it straight through once to build the full picture. The worked examples are there to slow you down at the hard spots — actually work through them. Then hit the problem set at the end. If you can answer those questions cold, you're ready. This is your intro psychology cognitive processes review in one sitting.

Keep reading

You've read the first half of Chapter 1. The complete book covers 5 chapters in roughly fifteen pages — readable in one sitting.

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